摘要
在高炉操作中 ,高炉热状态的平衡是非常重要的。通过对高炉下部热状态的分析 ,提出采用理论燃烧温度与炉腹煤气量的积 ( Tf× Vb)作为描述高炉热状态平衡点的观点。采用人工神经网络对高炉下部热状态进行了预报 ,建立了平衡点与各重要参数间的非线性关系 ,并确定了适合高炉高产、低耗和稳定顺行的平衡点的值为1 .2 5℃· m3/ ( m in· t· m3) 。
It is very important to maintain the heat balance of blast furnace The T f×V b ,which is the scalar product of theoretical burning temperature and coal gas quantity in bosh ,is put forward as a suitable description of heat balance point The heat status of blast furnace is forecasted by artificial neural network technology The nonlinear relation among balance point and some important operation parameters is built and the balance point which makes the operation of blast furnace stable with high yield, low cost is gained All those can be used as a reference for substitution of operation parameters each with other
出处
《钢铁》
CAS
CSCD
北大核心
2004年第5期12-15,共4页
Iron and Steel
关键词
高炉
平衡点
人工神经网络
blast furnace, balance point, artificial neural network
